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Jisen Li

9 accepted papers

2026

When RL Meets Adaptive Speculative Training: A Unified Training-Serving System

ICML 2026poster

Speculative decoding can significantly accelerate LLM serving, but its real-world benefits often erode due to training–serving mismatch and non-stationary traffic. Unlike previous systems that decouple speculator training from inference, we present a unified training–serving system, Aurora, that clo…

Cited by 0SourceScholar
2025

High-Force Electroadhesion Based on Unique Liquid-Solid Dielectrics for UAV Perching

ICRA 2025

Electroadhesion (EA), as an electrostatically driven, controllable adhesion technology, has unique attributes such as low noise, robust adaptability, and energy efficiency. However, its adhesion pressure is still low (0.1~10kPa) which may significantly limit its applications. This paper presents an

Cited by 2SourceScholar
2024

Embedded 3D Printing of Silicone for Soft Actuator with Stiffness Gradient and Programmable Workspace

IROS 2024poster

Soft pneumatic actuators can accomplish various customizable deformation/motion through the distribution of cavities and gradients in stiffness. However, traditional manufacturing methods, say molding, struggle to produce soft actuators with both complex cavities and desirable stiffness distribution…

Cited by 0SourceScholar
2022

Modeling of viscoelastic dielectric elastomer actuators based on the sparse identification method

ICRA 2022poster

Dielectric elastomer actuators (DEAs) have been widely employed to drive various soft robots, due to their quiet fast muscle-like behavior. It is significant but challenging to model and control these soft actuators, due to their viscoelastic property, irregular geometry, complex structure, etc. In…

Cited by 5SourceScholar
2021

Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique

ICRA 2021poster

The recovery of autonomous underwater vehicles (AUVs) has been a challenging mission due to the limited localization accuracy and movement capability of the AUVs. To overcome these limitations, we propose a novel design of a deployable underwater robot (DUR) for the recovery mission. Utilizing the o…

Cited by 0SourceScholar